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Umami

Query Umami self-hosted analytics.

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About

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Umami is a Model Context Protocol server in the Analytics & Monitoring category. It lets AI assistants that speak MCP call its tools and read its resources over STDIO.

Example tools

Illustrative tool names — the actual tool set is defined by the server at runtime.

list_resources
Enumerate resources exposed by this MCP
get_resource
Fetch a resource by ID
invoke
Invoke the primary action of this MCP

Screenshots

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Frequently Asked Questions

Common questions about Umami.

What is the Umami MCP?
The Umami MCP allows you to query analytics data from a self-hosted Umami instance. It integrates your Umami analytics directly into an MCP client for streamlined access.
How do I configure Umami in an MCP client?
You configure Umami by installing the MCP and providing your Umami API key. The specific steps depend on your client, but typically involve adding the MCP and entering credential details.
Does the Umami MCP require authentication?
Yes, authentication is required. The Umami MCP uses an API key for authentication, which you will need to obtain from your self-hosted Umami instance and provide to the MCP client.
What data can I query with the Umami MCP?
The Umami MCP enables querying of your self-hosted Umami analytics data. For specific exposed capabilities, refer to the documentation bundled with the MCP itself, as it exposes the Umami API.
Is there a cost associated with using the Umami MCP?
The Umami MCP itself is community-provided and open-source. Any costs would be related to hosting your own Umami analytics instance, not the MCP directly.
What is a prerequisite for using the Umami MCP?
A prerequisite for using the Umami MCP is having a running, self-hosted instance of Umami analytics. The MCP connects to your existing Umami deployment.

Install Umami

Claude Desktop

Add this to claude_desktop_config.json.

{
  "mcpServers": {
    "umami": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-umami"
      ]
    }
  }
}

Cursor

Add this to ~/.cursor/mcp.json.

{
  "mcpServers": {
    "umami": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-umami"
      ]
    }
  }
}

VS Code

Add this to your workspace settings.json.

{
  "mcp.servers": {
    "umami": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-umami"
      ]
    }
  }
}

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